回顾无人驾驶车辆的运动控制问题. 从系统模型, 控制方法以及控制结构等角度切入,
分别在纵向运动控制, 路径跟踪控制和轨迹跟踪控制三个层面对国内外的研究进展进行综述 …

Autonomous vehicle technology aims to improve driving safety, driving comfort, and its
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …

The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are developing software and hardware for …

The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …

The path tracking system is a crucial component in fully autonomous vehicles. While many
methods provide stateof-the-art tracking performance, they tend to emphasize tracking …

We present a learning model predictive controller (LMPC) for autonomous racing. We model
the autonomous racing problem as a minimum time iterative control task, where an iteration …

Autonomous vehicle path tracking accuracy and vehicle stability can hardly be
accomplished by one fixed control frame in various conditions due to the changing vehicle …

This paper presents an adaptive high performance control method for autonomous miniature
race cars. Racing dynamics are notoriously hard to model from first principles, which is …

Kinematic model predictive control (MPC) is well known for its simplicity and computational
efficiency for path tracking of autonomous vehicles, however, it merely works well at low …

A novel learning Model Predictive Control technique is applied to the autonomous racing
problem. The goal of the controller is to minimize the time to complete a lap. The proposed …